code: def demo(self, x_low, x_high):
      self._up_kwargs["height"] = x_high.shape[2]
      self._up_kwargs["width"] = x_high.shape[3]
  
      import mxnet.ndarray as F
  
      x_low = F.contrib.BilinearResize2D(
          x_low,
          height=self._up_kwargs["height"],
          width=self._up_kwargs["width"],
      )
      x_low = self.conv_low(x_low)
      x_high = self.conv_hign(x_high)
  
      x = x_low + x_high
      x = F.relu(x)
  
      x_low_cls = self.conv_low_cls(x_low)
      return x, x_low_cls
  
imports: from __future__ import division
  from mxnet.gluon import nn
  from mxnet.context import cpu
  from mxnet.gluon.nn import HybridBlock
  from gluoncv.model_zoo.segbase import SegBaseModel
  from gluoncv.model_zoo.pspnet import _PSPHead
label_desc: Use image node_id 3 for calling the CascadeFeatureFusion obj's underlying member method code with example usage: obj.demo(x_low, x_high) and returns: x,  x_low_cls